On Nash Equilibria for a Network Creation Game
Author(s) -
Susanne Albers,
Stefan Eilts,
Eyal Even-Dar,
Yishay Mansour,
Liam Roditty
Publication year - 2014
Publication title -
acm transactions on economics and computation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.519
H-Index - 18
eISSN - 2167-8383
pISSN - 2167-8375
DOI - 10.1145/2560767
Subject(s) - price of anarchy , nash equilibrium , combinatorics , upper and lower bounds , mathematics , conjecture , vertex (graph theory) , constant (computer programming) , best response , discrete mathematics , mathematical economics , graph , price of stability , computer science , economics , monetary policy , mathematical analysis , monetary economics , programming language
We study a network creation game recently proposed by Fabrikant, Luthra, Maneva, Papadimitriou and Shenker. In this game, each player (vertex) can create links (edges) to other players at a cost of α per edge. The goal of every player is to minimize the sum consisting of (a) the cost of the links he has created and (b) the sum of the distances to all other players.Fabrikant et al. conjectured that there exists a constant A such that, for any α > A, all non-transient Nash equilibria graphs are trees. They showed that if a Nash equilibrium is a tree, the price of anarchy is constant. In this paper we disprove the tree conjecture. More precisely, we show that for any positive integer n0 , there exists a graph built by n ≥ n0 players which contains cycles and forms a non-transient Nash equilibrium, for any α with 1 < α ≤ √n/2. Our construction makes use of some interesting results on finite affine planes. On the other hand we show that, for α ≥ 12n[log n], every Nash equilibrium forms a tree.Without relying on the tree conjecture, Fabrikant et al. proved an upper bound on the price of anarchy of O(√α), where α ∈ [2, n2]. We improve this bound. Specifically, we derive a constant upper bound for α ∈ O(√n) and for α ≥ 12n[log n]. For the intermediate values we derive an improved bound of O(1 + (min{α2/n, n2/α})1/3).Additionally, we develop characterizations of Nash equilibria and extend our results to a weighted network creation game as well as to scenarios with cost sharing.
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